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Data Scientist

Job Title: Data Scientist

We are looking for a Data Scientist / AI Engineer responsible for researching, developing, testing, deploying and troubleshooting artificial intelligence (AI) solutions.

Your Role:

  • Design, develop, test, and research machine learning (ML) / deep learning systems, architectures, and models.
  • Maintain and enrich existing ML systems, frameworks, and libraries.
  • Verify data quality and/or ensuring it via data cleaning.
  • Carry out relevant applied research (data science, ML algorithm, automation, etc.) upon projects’ requirements.
  • Monitor and evaluate the performance of deployed systems to ensure accuracy of results.
  • Provide developer and user documentation for the deployed processes, data architectures, and ML systems.
  • Facilitate User Acceptance Testing (UAT) and deploy the application in a production environment.
  • Utilize GitHub, Jenkins, and Docker for version control and deployment process.
  • Provide a reusable and high-quality Python modules and packages.

Your Profile:

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or other relevant areas.
  • Preferably minimum 2 years of relevant working experience.
  • Skills/Competencies:
    • Behavioral Competencies:
      • Passionate to learn new technologies, coding language and framework.
      • Great problem-solving aptitude.
      • Thrive on collaboration, working side by side with people of diverse backgrounds.
      • Verbal and written communication skills.
      • Able to work both in a team and independently.
      • Has integrity and respect.
    • Technical/Functional Competencies:
      • Familiarity with Data Science application development cycle.
      • Proficient in Python programming language and object oriented programming (OOP).
      • Knowledge of data structures, data modeling, ETL, and model evaluation.
      • Knowledge of mathematics, statistics, and algorithms.
      • Knowledge of standard ML frameworks and libraries (e.g. Keras, Tensorflow, PyTorch, Sklearn).
      • Experience with image recognition, time-series analysis and forecasting problems is preferred.
      • Knowledge of Git and CI/CD pipelines, as well as standard DevOps and MLOps processes is preferred.
      • Familiarity with Linux-based operating system is preferred.
      • Familiarity with Python Dash is preferred.
      • Basic Knowledge with NoSQL and/or SQL Database (MongoDB/PostgreSQL/MSSQL).
IT

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